医学 AI - arXivDaily 专题

2309.07332 2023-09-15 cs.LG cs.AI cs.CV q-bio.GN q-bio.QM stat.AP stat.ML 84%

Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining

Xianghao Zhan, Qinmei Xu, Yuanning Zheng, Guangming Lu, Olivier Gevaert

专题命中生物医学文本：biomedical(title,abstract)；CT(abstract)；分类 cs.CV、cs.LG、q-bio

2302.03605 2023-02-09 eess.SP cs.LG q-bio.NC 84%

Automated Huntington's Disease Prognosis via Biomedical Signals and Shallow Machine Learning

Sucheer Maddury

专题命中生物医学文本：biomedical(title,abstract)；diagnosis(abstract)；分类 cs.LG、q-bio、eess.SP

Comments 10 pages, 6 figures, submitted to IEEE Access

2604.02564 2026-05-12 eess.IV cs.CV 84%

Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It

为何不变性不足以实现生物医学领域泛化以及如何修复它

Sebo Diaz, Polina Golland, Elfar Adalsteinsson, Neel Dey

机构 * MIT（麻省理工学院）； MGH（麻省总医院）； HMS（哈佛医学院）

专题命中生物医学文本：biomedical(title,abstract)；medical image(abstract)；分类 cs.CV、eess.IV

AI总结 MaskGen通过结合源域图像强度和领域稳定的基模型表示，提出了一种简单有效的领域泛化策略，在生物医学图像分割中实现了更强的泛化能力。

Comments Project GitHub https://github.com/sebodiaz/MaskGen

2503.00175 2025-03-04 eess.IV cs.LG 84%

Manifold Topological Deep Learning for Biomedical Data

Xiang Liu, Zhe Su, Yongyi Shi, Yiying Tong, Ge Wang, Guo-Wei Wei

专题命中生物医学文本：biomedical(title,abstract)；medical image(abstract)；分类 cs.LG、eess.IV

2403.13680 2024-12-19 eess.IV cs.CV 84%

Step-Calibrated Diffusion for Biomedical Optical Image Restoration

Yiwei Lyu, Sung Jik Cha, Cheng Jiang, Asadur Chowdury, Xinhai Hou, Edward Harake, Akhil Kondepudi, Christian Freudiger, Honglak Lee, Todd C. Hollon

专题命中生物医学文本：biomedical(title,abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

2207.04295 2022-07-12 cs.LG cs.AI cs.CV 84%

Explainable AI (XAI) in Biomedical Signal and Image Processing: Promises and Challenges

Guang Yang, Arvind Rao, Christine Fernandez-Maloigne, Vince Calhoun, Gloria Menegaz

专题命中生物医学文本：biomedical(title,abstract)；medical image(abstract)；分类 cs.CV、cs.LG

Comments IEEE ICIP 2022

2604.17581 2026-04-21 cs.LG cs.AI q-bio.NC 83%

How Much Data is Enough? The Zeta Law of Discoverability in Biomedical Data, featuring the enigmatic Riemann zeta function

需要多少数据？生物医学数据的发现率ζ定律，涉及神秘的黎曼ζ函数

Paul M. Thompson

机构 * Stevens Institute for Neuroimaging & Informatics（神经影像与信息学史蒂文斯研究所）； University of Southern California（南加州大学）； Los Angeles, CA, USA（洛杉矶，加利福尼亚州，美国）

专题命中生物医学文本：biomedical(title,abstract)；MRI(abstract)；分类 cs.LG、q-bio

AI总结本文提出基于数据协方差算子谱结构的跨模态发现率定律框架，揭示性能指标与ζ函数的关系，为数据规模、表示学习和多模态扩展提供理论指导。

Comments 25 pages, 5 figures

2606.24488 2026-06-24 cs.CV cs.AI stat.ME 新提交 83%

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data

RetiSEM：泛化碎片化生物医学数据的因果模型

Inam Ullah, Imran Razzak, Shoaib Jameel

机构 * University of Southampton（南安普顿大学）； Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学）

专题命中生物医学文本：biomedical(title,abstract)；medical AI(abstract)；分类 cs.CV

AI总结提出RetiSEM框架，通过领域约束的结构方程模型从碎片化生物医学数据中恢复因果图并进行中介分析，在合成和真实数据上优于无约束基线。

2601.19667 2026-05-19 cs.CL cs.AI cs.IR cs.LG 83%

SynCABEL: Synthetic Contextualized Augmentation for Biomedical Entity Linking

SynCABEL：面向生物医学实体链接的合成上下文增强

Adam Remaki, Christel Gérardin, Eulàlia Farré-Maduell, Martin Krallinger, Xavier Tannier

机构 * Sorbonne Université, Inserm, Université Sorbonne Paris Nord, Limics（索邦大学、国家医学研究院、巴黎索邦大学、Limics）； Service de médecine interne, Hôpital Tenon, Assistance Publique - Hôpitaux de Paris（内科服务部，Tenon医院，巴黎公共医院）； Barcelona Supercomputing Center, Barcelona, Spain（巴塞罗那超级计算中心，西班牙巴塞罗那）

专题命中生物医学文本：biomedical(title,abstract)；分类 cs.LG

AI总结 SynCABEL通过利用大型语言模型生成丰富的上下文合成训练示例，解决了监督式生物医学实体链接中专家标注数据稀缺的问题，并在三个多语言基准上实现了新的最先进的结果。

Comments 7 pages, 5 figures

2604.15588 2026-04-20 cs.CL cs.AI cs.HC cs.LG 83%

"Excuse me, may I say something..." CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations

请问，我可以发言吗... CoLabScience，一种用于生物医学发现和LLM专家协作的主动AI助手

Yang Wu, Jinhong Yu, Jingwei Xiong, Zhimin Tao, Xiaozhong Liu

机构 * Worcester Polytechnic Institute（沃斯特理工大学）； University of California, Davis（加州大学戴维斯分校）； Jiangsu University（江苏大学）

专题命中生物医学文本：biomedical(title,abstract)；分类 cs.LG

AI总结本文提出CoLabScience，一种主动AI助手，通过及时的上下文感知干预提升生物医学领域AI与人类专家的协作效率，PULI框架在流式科学讨论中实现精准干预，实验表明其在干预精度和协作任务实用性上优于现有基线。

Comments ACL 2026 Main Conference

2505.05577 2026-01-23 cs.LG cs.AI 83%

PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models

PyTDC: 一种用于生物医学基础模型的多模态机器学习训练、评估和推理平台

Alejandro Velez-Arce, Jesus Caraballo, Marinka Zitnik

机构 * arcellai（ArcellAI公司）； calculus（The Residency公司）； mit（麻省理工学院）； hms（哈佛医学院生物医学信息学系）； broad（MIT与哈佛大学Broad研究所）； harvard-ds（哈佛大学数据科学倡议）； kempner（哈佛大学Kempner研究所）

专题命中生物医学文本：biomedical(title,abstract)；medical AI(abstract)；分类 cs.LG

AI总结 PyTDC是一种多模态机器学习平台，旨在提升生物医学基础模型的训练、评估和推理能力，通过统一数据源和模型权重，促进多模态、上下文感知的研究。

Comments Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada. PMLR 267, 2025

2601.13677 2026-01-21 cs.CV 83%

Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging

最终超越随机基线：一种在3D生物医学影像中主动学习的有效解决方案

Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jäger, Klaus Maier-Hein, Fabian Isensee

专题命中生物医学文本：biomedical(title,abstract)；medical image(abstract)；分类 cs.CV

AI总结本文提出ClaSP PE方法，通过解决类别不平衡和冗余问题，有效提升3D生物医学影像主动学习的性能和效率。

Comments Accepted at TMLR

2601.03561 2026-01-13 cs.LG 83%

Neural Operators for Biomedical Spherical Heterogeneity

神经运算符用于生物医学球形异质性

Hao Tang, Hao Chen, Hao Li, Chao Li

机构 * University of Dundee（邓迪大学）； University of Cambridge（剑桥大学）； Fudan University（复旦大学）

专题命中生物医学文本：biomedical(title,abstract)；MRI(abstract)；分类 cs.LG

AI总结 GSNO通过融合等变、不变和各向异性格林函数运算，有效建模生物医学中的球形异质性和各向异性，提升真实世界系统的适应性与效率。

2511.22232 2025-12-01 cs.CV cs.AI cs.CL 83%

From Compound Figures to Composite Understanding: Developing a Multi-Modal LLM from Biomedical Literature with Medical Multiple-Image Benchmarking and Validation

从复合图形到综合理解：开发一种从生物医学文献中基于医疗多图像基准测试和验证的多模态大语言模型

Zhen Chen, Yihang Fu, Gabriel Madera, Mauro Giuffre, Serina Applebaum, Hyunjae Kim, Hua Xu, Qingyu Chen

机构 * Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, CT 06510, USA（耶鲁医学院生物医学信息学与数据科学系，耶鲁大学，新 Haven，CT 06510，USA）； School of Medicine, University of Puerto Rico, San Juan, PR 00921, USA（波多黎各大学医学院，波多黎各，San Juan，PR 00921，USA）

专题命中生物医学文本：biomedical(title,abstract)；diagnosis(abstract)；分类 cs.CV

AI总结本文提出M3LLM，一种基于生物医学文献中复合图像的多模态大语言模型，通过分而治之策略提升多图像理解能力，实验证明其在多图像、单图像等场景中表现优异。

2509.05505 2025-09-09 cs.CL cs.LG 83%

Biomedical Literature Q&A System Using Retrieval-Augmented Generation (RAG)

Mansi Garg, Lee-Chi Wang, Bhavesh Ghanchi, Sanjana Dumpala, Shreyash Kakde, Yen Chih Chen

专题命中生物医学文本：biomedical(title,abstract)；medical AI(abstract)；分类 cs.LG

Comments 10 pages, 6 figures, 3 tables

2506.01902 2025-06-03 cs.CV cs.CL 83%

Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination

Xinliu Zhong, Kayhan Batmanghelich, Li Sun

专题命中生物医学文本：biomedical(title,abstract)；medical image(abstract)；分类 cs.CV

Comments 6 pages, 1 figure, accepted by 2024 IEEE Conference on Artificial Intelligence (CAI)

Journal ref 2024 IEEE Conference on Artificial Intelligence (CAI), 2024, 480-485

2502.00418 2025-06-03 cs.CV 83%

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging

Carolin Teuber, Anwai Archit, Constantin Pape

机构 * Georg-August-University Göttingen, Institute of Physics（哥廷根大学物理学院）； Georg-August-University Göttingen, Institute of Computer Science（哥廷根大学计算机科学学院）； CAIMed - Lower Saxony Center for AI & Causal Methods in Medicine, Göttingen（下萨克森人工智能与医学因果方法中心）； Cluster of Excellence Multiscale Bioimaging (MBExC), Georg-August-University Göttingen（多尺度生物成像集群（MBExC），哥廷根大学）

专题命中生物医学文本：biomedical(title,abstract)；medical image(abstract)；分类 cs.CV

Comments Published in MIDL 2025

2405.02485 2024-10-24 cs.LG cs.AI 83%

A Survey of Few-Shot Learning for Biomedical Time Series

Chenqi Li, Timothy Denison, Tingting Zhu

专题命中生物医学文本：biomedical(title,abstract)；diagnosis(abstract)；分类 cs.LG

Comments This work has been submitted to the IEEE for possible publication

2410.05436 2024-10-10 cs.CV 83%

Discovering distinctive elements of biomedical datasets for high-performance exploration

Md Tauhidul Islam, Lei Xing

专题命中生物医学文本：biomedical(title,abstract)；medical image(abstract)；分类 cs.CV

Comments 13 pages, 5 figures

2402.15246 2024-02-26 eess.IV cs.AI cs.NE 83%

Artificial Bee Colony optimization of Deep Convolutional Neural Networks in the context of Biomedical Imaging

Adri Gomez Martin, Carlos Fernandez del Cerro, Monica Abella Garcia, Manuel Desco Menendez

专题命中生物医学文本：biomedical(title,abstract)；medical image(abstract)；分类 eess.IV

2108.00214 2023-09-26 cs.LG cs.AI 83%

A Plant Root System Algorithm Based on Swarm Intelligence for One-dimensional Biomedical Signal Feature Engineering

Rui Gong, Kazunori Hase

专题命中生物医学文本：biomedical(title,abstract)；diagnosis(abstract)；分类 cs.LG

2308.00519 2023-08-02 cs.CV 83%

Markerless human pose estimation for biomedical applications: a survey

Andrea Avogaro, Federico Cunico, Bodo Rosenhahn, Francesco Setti

专题命中生物医学文本：biomedical(title,abstract)；diagnosis(abstract)；分类 cs.CV

Journal ref Frontiers in Computer Science 5, (2023): 1153160

2306.14487 2023-06-27 physics.med-ph cs.CV 83%

Iterative-in-Iterative Super-Resolution Biomedical Imaging Using One Real Image

Yuanzheng Ma, Xinyue Wang, Benqi Zhao, Ying Xiao, Shijie Deng, Jian Song, Xun Guan

专题命中生物医学文本：biomedical(title,abstract)；medical image(abstract)；分类 cs.CV

Comments 8 pages, SPIE conference, and will be submitted to APL journal

2204.09817 2022-12-08 cs.CV cs.CL 83%

Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing

Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie Hyland, Maria Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay

专题命中生物医学文本：biomedical(title,abstract)；radiology(abstract)；分类 cs.CV

Comments To appear in ECCV 2022. Code: https://aka.ms/biovil-code Dataset: https://aka.ms/ms-cxr Demo Notebook: https://aka.ms/biovil-demo-notebook

Journal ref Computer Vision - ECCV 2022, LNCS vol 13696, pp 1-21

2207.02419 2022-07-07 cs.CL cs.AI cs.LG 83%

BioTABQA: Instruction Learning for Biomedical Table Question Answering

Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, Chitta Baral

专题命中生物医学文本：biomedical(title,abstract)；diagnosis(abstract)；分类 cs.LG

Comments BioASQ10 Workshop

2204.09781 2022-06-07 cs.DL cs.CL cs.IR cs.LG 83%

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations

Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj Doğan, Jingcheng Du, Li Fang, Kai Wang, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Senja Pollak, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Naveen Sivadasan, Zhiyong Lu

专题命中生物医学文本：biomedical(title,abstract)；diagnosis(abstract)；分类 cs.LG

2110.13683 2021-10-27 cs.CV cs.AI cs.CL 83%

BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network

Jialun Wu, Yang Liu, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li

专题命中生物医学文本：biomedical(title,abstract)；pathology(abstract)；分类 cs.CV

Comments BIBM 2021 accepted, including 9 pages, 1 figure

2108.06637 2021-08-17 cs.CV 83%

Deep Algorithm Unrolling for Biomedical Imaging

Yuelong Li, Or Bar-Shira, Vishal Monga, Yonina C. Eldar

专题命中生物医学文本：biomedical(title,abstract)；medical image(abstract)；分类 cs.CV

2004.13371 2020-06-03 cs.CV 83%

3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis

Valentin Oreiller, Vincent Andrearczyk, Julien Fageot, John O. Prior, Adrien Depeursinge

专题命中生物医学文本：biomedical(title,abstract)；CT(abstract)；分类 cs.CV

Comments 10 pages

1811.05475 2019-07-02 cs.IR cs.CL cs.LG stat.ML 83%

ML-Net: multi-label classification of biomedical texts with deep neural networks

Jingcheng Du, Qingyu Chen, Yifan Peng, Yang Xiang, Cui Tao, Zhiyong Lu

专题命中生物医学文本：biomedical(title,abstract)；diagnosis(abstract)；分类 cs.LG

1. 生物医学文本 4493 篇

Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining

Automated Huntington's Disease Prognosis via Biomedical Signals and Shallow Machine Learning

Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It

Manifold Topological Deep Learning for Biomedical Data

Step-Calibrated Diffusion for Biomedical Optical Image Restoration

Explainable AI (XAI) in Biomedical Signal and Image Processing: Promises and Challenges

How Much Data is Enough? The Zeta Law of Discoverability in Biomedical Data, featuring the enigmatic Riemann zeta function

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data

SynCABEL: Synthetic Contextualized Augmentation for Biomedical Entity Linking

"Excuse me, may I say something..." CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations

PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models

Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging

Neural Operators for Biomedical Spherical Heterogeneity

From Compound Figures to Composite Understanding: Developing a Multi-Modal LLM from Biomedical Literature with Medical Multiple-Image Benchmarking and Validation

Biomedical Literature Q&A System Using Retrieval-Augmented Generation (RAG)

Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging

A Survey of Few-Shot Learning for Biomedical Time Series

Discovering distinctive elements of biomedical datasets for high-performance exploration

Artificial Bee Colony optimization of Deep Convolutional Neural Networks in the context of Biomedical Imaging

A Plant Root System Algorithm Based on Swarm Intelligence for One-dimensional Biomedical Signal Feature Engineering

Markerless human pose estimation for biomedical applications: a survey

Iterative-in-Iterative Super-Resolution Biomedical Imaging Using One Real Image

Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing

BioTABQA: Instruction Learning for Biomedical Table Question Answering

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations

BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network

Deep Algorithm Unrolling for Biomedical Imaging

3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis

ML-Net: multi-label classification of biomedical texts with deep neural networks